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Intelligent Stream Mining and Strategic Response Solutions “ Real-time Internet conversations occur on many platforms from blogs to social media sites and new web superstars like Twitter. Tools that you have used in the past, like Google or their email alerts, cannot keep pace with these conversations.”
Our Core Strategy Build Web Apps that look into the Data Mine: Live Data Mine of Conversations and Mentions Social Search Engagement Work Flow Real Time & Historical Analysis
PeopleBrowsr Clients
Advertising Stream Print Radio TV Social Media Media Spend $$$ Social Media Is an efficient  channel
Inside PeopleBrowsr Analytics Fan Pages Mentions, RTs, … Comments, Sharing,… Profiles, Comments, … Status Updates, Comments, … Pictures, Comments, … Connections, Comments
Inside PeopleBrowsr  ,[object Object],[object Object],[object Object],[object Object]
Problems we Solve: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Media Spend on Twitter Media Spend on Twitter
The PeopleBrowsr Cycle ,[object Object],[object Object],[object Object],[object Object],[object Object]
SuperBowl ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],By Volume Mullen and Radian6
SuperBowl ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SuperBowl ,[object Object]
SuperBowl ,[object Object]
SuperBowl
SuperBowl
SuperBowl
SuperBowl
SuperBowl
O’Reilly and PeopleBrowsr Analysis:
Correlation of Tweets and Ads
Doritos and Bud Light ran a series of themed ads Doritos ran more ads and received more positive sentiment tweets
Top Brands – By Sentiment ,[object Object],[object Object]
Low Sentiment Brands ,[object Object],[object Object],[object Object]
No Sentiment Brands ,[object Object]
Korean Cars ,[object Object]
SuperBowl By Volume Mullen and Radian6 O’Reilly and PeopleBrowsr O’Reilly and PeopleBrowsr By Volume By Positive http://www.slideshare.net/peoplebrowsr/superbowl-3231030 Contact me for an xls of the Brands Tweets  [email_address]
Hollywood Company Size:  $200 Million in Revenue Social Media Spend:  $20K Goal:  Evaluate impact of non-Traditional Media on the Social Media sphere
Hollywood Solution:  180 day Historical Analysis of Posts overlayed on TV Ad spend and other channels ,[object Object],[object Object],[object Object],[object Object]
Hollywood  Sentiment Campaign ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Filtering a high Velocity  Stream Seek an effective way to measure brand sentiment accurately.  The goal is to find a list of influencers speaking in both positive and negative terms and engage. Risks:  Stream includes spam, affiliates, and other non-relevant mentions .  Velocity  10,000 Mentions/day
  Filtering Process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Data Mine | Analytics |  Brand Engagement  |   Messaging
Sentiment Analysis 95%  accuracy Vs 70-80%  automation alone   SENTIMENT One  Build a live stream Two  Analyze with a special dictionary Three  I ncrease quality with  Real-time human re-sorting Mechanical Turk HISTORICAL ARCHIVE One  Identify Keyword @name Two  Set Time Length (30d) Three  Search archive (360d)
one  we build a live stream for an industry or a group using @Names or Keywords. Eg: Foo Camp attendees and the companies that they represent or Airlines. How it works
How it works two  we then analyze that stream with a special dictionary for the industry or group and sort the results into buckets.
How it works three  increase quality with  real time human re-sorting
Eg: Quality Improvement on June Airlines data
Custom Dashboards and Reporting
Social Media Metrics for ROI Metrics on “Time for Engagement” Best Time for Engagement with Followers
Sneak Preview: T2 – Next Gen ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
T2 prototype
T2 prototype
Intelligent Stream Mining and Strategic Response Solutions @WingDude  |  [email_address]

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Gravity Summit 2010 PeopleBrowsr

  • 1. Intelligent Stream Mining and Strategic Response Solutions “ Real-time Internet conversations occur on many platforms from blogs to social media sites and new web superstars like Twitter. Tools that you have used in the past, like Google or their email alerts, cannot keep pace with these conversations.”
  • 2. Our Core Strategy Build Web Apps that look into the Data Mine: Live Data Mine of Conversations and Mentions Social Search Engagement Work Flow Real Time & Historical Analysis
  • 4. Advertising Stream Print Radio TV Social Media Media Spend $$$ Social Media Is an efficient channel
  • 5. Inside PeopleBrowsr Analytics Fan Pages Mentions, RTs, … Comments, Sharing,… Profiles, Comments, … Status Updates, Comments, … Pictures, Comments, … Connections, Comments
  • 6.
  • 7.
  • 8. Media Spend on Twitter Media Spend on Twitter
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 21. Doritos and Bud Light ran a series of themed ads Doritos ran more ads and received more positive sentiment tweets
  • 22.
  • 23.
  • 24.
  • 25.
  • 26. SuperBowl By Volume Mullen and Radian6 O’Reilly and PeopleBrowsr O’Reilly and PeopleBrowsr By Volume By Positive http://www.slideshare.net/peoplebrowsr/superbowl-3231030 Contact me for an xls of the Brands Tweets [email_address]
  • 27. Hollywood Company Size: $200 Million in Revenue Social Media Spend: $20K Goal: Evaluate impact of non-Traditional Media on the Social Media sphere
  • 28.
  • 29.
  • 30. Filtering a high Velocity Stream Seek an effective way to measure brand sentiment accurately. The goal is to find a list of influencers speaking in both positive and negative terms and engage. Risks: Stream includes spam, affiliates, and other non-relevant mentions . Velocity 10,000 Mentions/day
  • 31.
  • 32. Sentiment Analysis 95% accuracy Vs 70-80% automation alone SENTIMENT One Build a live stream Two Analyze with a special dictionary Three I ncrease quality with Real-time human re-sorting Mechanical Turk HISTORICAL ARCHIVE One Identify Keyword @name Two Set Time Length (30d) Three Search archive (360d)
  • 33. one we build a live stream for an industry or a group using @Names or Keywords. Eg: Foo Camp attendees and the companies that they represent or Airlines. How it works
  • 34. How it works two we then analyze that stream with a special dictionary for the industry or group and sort the results into buckets.
  • 35. How it works three increase quality with real time human re-sorting
  • 36.
  • 37. Eg: Quality Improvement on June Airlines data
  • 39. Social Media Metrics for ROI Metrics on “Time for Engagement” Best Time for Engagement with Followers
  • 40.
  • 43. Intelligent Stream Mining and Strategic Response Solutions @WingDude | [email_address]

Notas del editor

  1. Note higher scale for Tweet trends chart for Doritos and Bud Light (20K vs 5K for other brands)
  2. Note different scale from first slide (5K tweets vs 20K tweets) – far fewer tweets than Doritos and Bud Light
  3. Note different scale from first slide (5K tweets vs 20K tweets) – far fewer tweets than Doritos and Bud Light
  4. Note different scale from first slide (5K tweets vs 20K tweets) – far fewer tweets than Doritos and Bud Light
  5. Note different scale from first slide (5K tweets vs 20K tweets) – far fewer tweets than Doritos and Bud Light